Utilizing Technology Acceptance Model (TAM) for driverless car technology adoption
Document Type
Article
Publication Date
2018
Department/School
Engineering Technology
Publication Title
Journal of Technology Management & Innovation
Abstract
This paper examines the relationship between perceived usefulness of driverless car technology, perceived ease of use of driverless car technology, years of driving experience, age and the intention to use driverless cars. This research is a cross-sectional descriptive correlational study with the Technology Acceptance Model as its theoretical framework. The primary method of data collection was an online survey. Pearson’s correlation and multiple linear regression were used for data analysis. This study found significant, positive relationships between perceived usefulness of driverless car technology, perceived ease of use of driverless car technology and intention to use driverless cars. Also, there were significant, negative relationships between years of driving experience, age and intention to use driverless cars.
Link to Published Version
Recommended Citation
Koul, S., & Eydgahi, A. (2018). Utilizing Technology Acceptance Model (TAM) for driverless car technology adoption. Journal of Technology Management & Innovation, 13(4), 37–46. https://doi.org/10.4067/S0718-27242018000400037
Comments
A. Eydgahi is a faculty member in EMU's School of Engineering.
*S. Koul is an EMU student.